pygeoda.local_bimoran(w, data1, data2, **kwargs)[source]

Bivariate local Moran statistics. The bivariate Local Moran’s I captures the relationship between the value for one variable at location i, and the average of the neighboring values for another variable.

  • w (Weight) – An instance of Weight class.

  • data1 (tuple/list/pandas.Series) – A tuple of numeric values of first variable

  • data1 – A tuple of numeric values of second variable

  • undefs (tuple/list, optional) – A tuple of boolean values to indicate which value is undefined or null

  • permutations (int, optional) – The number of permutations for the LISA computation

  • permutation_method (str, optional) – The permutation method used for the LISA computation. Options are {‘complete’, ‘lookup-table’}. Default is ‘complete’.

  • significance_cutoff (float, optional) – A cutoff value for significance p-values to filter not-significant clusters

  • cpu_threads (int, optional) – The number of cpu threads used for parallel LISA computation

  • seed (int, optional) – The seed for random number generator


An instance of lisa class represents the results of lisa computation

Return type